Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "128" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 72 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 70 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459888 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.936588 | -0.551046 | 1.931734 | 0.681843 | -0.498180 | -0.178288 | 0.421479 | 0.120817 | 0.7014 | 0.7187 | 0.3777 | nan | nan |
| 2459887 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.813569 | -0.441038 | 2.182053 | 0.520889 | -0.419557 | 0.480220 | -0.266552 | -0.041038 | 0.6835 | 0.7006 | 0.3899 | nan | nan |
| 2459886 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.123838 | -0.396195 | 1.885757 | 0.471679 | 1.763327 | 0.591412 | 2.272288 | 0.784997 | 0.7651 | 0.7622 | 0.3193 | nan | nan |
| 2459885 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.886661 | -0.139910 | 8.598554 | 2.345330 | 0.738961 | 1.746964 | 2.763717 | 0.540125 | 0.7388 | 0.7401 | 0.3381 | nan | nan |
| 2459884 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.038988 | -0.576939 | 1.548959 | 0.629199 | 0.393901 | -0.157376 | -0.493870 | -0.522947 | 0.6778 | 0.6871 | 0.3972 | nan | nan |
| 2459883 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.389679 | 0.350782 | 7.733098 | 1.628420 | -0.097433 | 1.786317 | -0.364469 | -0.180209 | 0.6880 | 0.7003 | 0.3829 | nan | nan |
| 2459882 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.718252 | 0.209607 | 8.126354 | 3.697368 | -0.147372 | 1.193113 | -0.208327 | -0.275227 | 0.6939 | 0.7028 | 0.3713 | nan | nan |
| 2459881 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.718761 | 0.201948 | 10.044855 | 3.314760 | 1.209136 | 0.278202 | 0.067708 | -0.198832 | 0.7289 | 0.7464 | 0.3227 | nan | nan |
| 2459880 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.712344 | 0.146821 | 7.906866 | 2.421409 | 0.362639 | 1.682904 | -0.052252 | -0.195780 | 0.6871 | 0.7011 | 0.3873 | nan | nan |
| 2459879 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.713182 | -0.224756 | 1.317714 | 0.799726 | -0.004027 | 0.152870 | -0.073432 | -0.323672 | 0.6726 | 0.6885 | 0.4082 | nan | nan |
| 2459878 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.150769 | 0.296547 | 8.313950 | 2.524239 | 0.127943 | 2.133841 | 2.519793 | 0.905103 | 0.6793 | 0.6971 | 0.3922 | nan | nan |
| 2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.271185 | -0.245023 | 5.918602 | 2.114450 | 0.064794 | 0.946873 | 0.379153 | 0.469074 | 0.6974 | 0.6893 | 0.3925 | nan | nan |
| 2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.856577 | 2.762624 | 7.426895 | 2.901567 | -0.081724 | 2.077165 | -0.516871 | -0.122578 | 0.7138 | 0.7178 | 0.3924 | nan | nan |
| 2459874 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.951672 | 1.327956 | 3.335389 | 1.127143 | 0.292694 | 0.191092 | 0.155278 | -0.212822 | 0.6961 | 0.6851 | 0.3828 | nan | nan |
| 2459873 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.763728 | 8.683849 | 4.685339 | 2.792539 | -0.563074 | 1.862042 | -0.644234 | -0.233739 | 0.7038 | 0.6788 | 0.3802 | nan | nan |
| 2459872 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.098811 | 8.320593 | 5.671047 | 3.054517 | -0.120874 | 2.619515 | -0.343899 | -0.676776 | 0.7020 | 0.6736 | 0.3888 | nan | nan |
| 2459871 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.827347 | 6.613537 | 6.714298 | 2.427511 | -0.297174 | 2.077601 | -0.347490 | -0.572594 | 0.7038 | 0.6663 | 0.3919 | nan | nan |
| 2459870 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.127152 | 11.945372 | 4.909025 | 1.397052 | 0.105168 | 3.661796 | 1.069466 | 0.645458 | 0.7085 | 0.6815 | 0.3876 | nan | nan |
| 2459869 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.461667 | 8.948507 | 5.165129 | 0.663342 | -0.078170 | 2.278574 | -0.216657 | -0.755945 | 0.7230 | 0.7063 | 0.3725 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.038612 | 11.395659 | 7.809225 | 3.547169 | 0.176399 | 2.699547 | 0.007347 | -0.404079 | 0.6970 | 0.6738 | 0.3979 | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.800005 | 8.559694 | 5.547582 | 2.733898 | -0.323463 | 2.445320 | -0.073000 | -0.471744 | 0.7090 | 0.6775 | 0.3999 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.749652 | 9.465198 | 5.610566 | 2.756364 | -0.130826 | 2.460565 | -0.168283 | -0.548119 | 0.7101 | 0.6794 | 0.3937 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.125575 | 12.261137 | 1.603172 | 0.529971 | -0.334980 | 2.705105 | -0.407826 | -0.345259 | 0.7362 | 0.7003 | 0.3589 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.031913 | 13.414470 | -0.921455 | -0.793606 | -0.393353 | 1.741661 | 0.049918 | 0.211203 | 0.7104 | 0.6744 | 0.4064 | nan | nan |
| 2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.812650 | 7.713131 | -0.099229 | -0.053092 | 0.185363 | 0.048730 | -0.267342 | -0.412089 | 0.7044 | 0.6650 | 0.4014 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.783531 | 6.294983 | -1.514381 | -1.102185 | -0.059653 | 1.478958 | -0.467679 | -0.553869 | 0.6906 | 0.6971 | 0.4197 | nan | nan |
| 2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.702388 | 3.697821 | -0.022234 | 0.061608 | 0.555889 | -0.562629 | -0.226077 | -0.511228 | 0.7153 | 0.6775 | 0.4180 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.930297 | 3.896155 | -1.033636 | -0.437316 | -0.307797 | 1.209938 | -0.215726 | -0.718402 | 0.7277 | 0.6862 | 0.4053 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.650513 | 3.485021 | 0.046189 | -0.168483 | 0.870905 | -1.268310 | -0.278934 | -0.388903 | 0.7289 | 0.6876 | 0.4051 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.647063 | 3.719527 | -0.000856 | -0.205097 | 1.312169 | -0.929230 | -0.328060 | -0.485992 | 0.7415 | 0.6954 | 0.4113 | 1.639508 | 1.570908 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.650404 | 0.870812 | 0.195564 | -0.291430 | -1.238020 | 2.777059 | -0.550028 | -0.320423 | 0.0248 | 0.0249 | 0.0004 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.765837 | 6.446757 | -0.877317 | 0.164136 | -0.354560 | 1.835275 | -0.457550 | -0.542553 | 0.7336 | 0.7104 | 0.3959 | 2.978098 | 2.822701 |
| 2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.652440 | 7.326727 | 0.246197 | 2.114526 | -0.367545 | 2.165835 | -0.299333 | -0.785649 | 0.7116 | 0.7238 | 0.4367 | 2.783640 | 2.589906 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.856417 | 7.469398 | 0.391396 | 0.825643 | -0.349936 | 1.408706 | -0.119173 | -0.622097 | 0.7290 | 0.7448 | 0.4316 | 2.884016 | 2.680916 |
| 2459853 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.234238 | 5.017066 | 0.489391 | 1.251652 | -0.047595 | 1.597028 | -0.049157 | -0.383072 | 0.7488 | 0.6981 | 0.4210 | 3.426667 | 3.355952 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 0.54% | -0.604448 | 2.175376 | -0.135936 | 0.133451 | -0.069201 | 1.530861 | -0.922025 | -0.502256 | 0.8424 | 0.8444 | 0.2299 | 3.219672 | 3.230882 |
| 2459851 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.76% | 0.00% | -1.276981 | 3.549983 | 0.419953 | 1.205351 | 0.032805 | 0.064042 | -0.070820 | -0.670872 | 0.7648 | 0.7451 | 0.3355 | 1.560681 | 1.480982 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.345295 | 4.530076 | 0.413448 | 1.118601 | -0.015458 | 1.545640 | -0.141937 | -0.685363 | 0.7545 | 0.7676 | 0.3449 | 3.057644 | 3.132693 |
| 2459849 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.626142 | 5.288157 | 1.551859 | 4.694125 | -0.032695 | 1.900931 | 0.222559 | -0.719382 | 0.7521 | 0.7612 | 0.3510 | 3.779542 | 3.496353 |
| 2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.262008 | 5.066744 | -0.610714 | 2.683244 | 0.668659 | 1.883323 | -0.146917 | -0.349098 | 0.7352 | 0.7617 | 0.3706 | 3.460692 | 3.218575 |
| 2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.265027 | 4.594297 | -0.878831 | 2.030754 | -0.234649 | 0.166597 | -0.557695 | -0.626904 | 0.7344 | 0.6942 | 0.4280 | 3.585725 | 3.259001 |
| 2459845 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.271773 | 6.675045 | 0.113606 | 5.419665 | -0.228331 | 2.633829 | -0.233328 | -0.926419 | 0.7604 | 0.7550 | 0.3545 | 6.313538 | 6.395690 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.912364 | 3.398109 | -0.191246 | 1.144540 | -0.320985 | 2.262651 | -0.708642 | -1.206729 | 0.0244 | 0.0246 | 0.0005 | nan | nan |
| 2459843 | digital_ok | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | -0.867030 | 6.955169 | -0.328242 | 1.334085 | -0.286887 | 1.041420 | -0.258577 | -0.312819 | 0.7589 | 0.7499 | 0.3808 | 4.925799 | 5.025558 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.647383 | 1.717986 | 0.490011 | -0.728761 | 0.480092 | 0.045988 | -0.008303 | 0.096026 | 0.7741 | 0.7098 | 0.2477 | 2.174088 | 1.842875 |
| 2459841 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.951964 | 4.501729 | 0.060560 | 0.145461 | -1.148896 | 5.885939 | 0.871352 | 0.381836 | 0.0245 | 0.0248 | 0.0006 | nan | nan |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.292921 | 1.063117 | 0.201471 | -0.376208 | -1.000739 | -0.883248 | -0.235253 | -0.056071 | 0.0231 | 0.0232 | 0.0007 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | -0.403978 | 0.010519 | -0.068623 | -0.753361 | 2.174414 | 3.145084 | -0.477099 | -0.422009 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0445 | 0.0504 | 0.0032 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.353991 | 0.103012 | -1.025258 | -0.345496 | -0.148533 | 0.706188 | -0.484917 | -0.735396 | 0.0444 | 0.0481 | 0.0039 | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.435296 | -0.464674 | 0.630562 | -0.193233 | -0.184150 | 0.533108 | -0.024382 | -0.177940 | 0.0408 | 0.0390 | 0.0018 | nan | nan |
| 2459832 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.852873 | 4.637942 | -0.846238 | 0.095282 | 0.196134 | 2.705335 | 0.442398 | -0.589073 | 0.7488 | 0.4731 | 0.5525 | 3.172267 | 3.248855 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.222781 | 0.335618 | -0.322098 | -0.698548 | 0.168012 | 0.406892 | -0.353630 | -0.292771 | 0.0533 | 0.0358 | 0.0022 | nan | nan |
| 2459830 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.881230 | 3.747308 | -0.555410 | 0.886666 | 0.572837 | 0.741096 | 0.135773 | -1.101259 | 0.7453 | 0.4687 | 0.5447 | 2.035321 | 1.631600 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.855415 | 8.909812 | 0.185143 | 1.762505 | 0.092037 | 3.240444 | 1.542590 | -0.310421 | 0.6812 | 0.5898 | 0.4156 | 9.326170 | 13.706101 |
| 2459828 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.234239 | 3.323639 | 0.181865 | 1.248138 | -0.060445 | 1.357354 | 0.925747 | -0.435647 | 0.7403 | 0.4860 | 0.5206 | 2.231852 | 1.756546 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.428078 | 6.219833 | -0.069471 | 2.508083 | -0.123736 | 1.727286 | -0.363877 | -0.445807 | 0.6951 | 0.6063 | 0.4080 | 8.938381 | 11.329961 |
| 2459826 | digital_ok | 0.00% | 16.13% | 16.13% | 0.00% | 15.79% | 0.00% | -1.352573 | 2.522602 | -0.409308 | 1.822125 | 0.354994 | 1.435053 | 0.061478 | -0.946639 | 0.6632 | 0.4552 | 0.4461 | 1.340337 | 0.848195 |
| 2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.520362 | 2.373424 | -0.294978 | 0.258992 | 0.288565 | 0.879871 | 0.095312 | 0.154132 | 0.0880 | 0.0677 | 0.0148 | 0.000000 | 0.000000 |
| 2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.638501 | 6.959856 | -0.275246 | 0.950295 | 1.136044 | 1.811327 | 2.446311 | 2.480912 | 0.0891 | 0.0811 | 0.0179 | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.134370 | 1.112929 | -0.631083 | 1.052794 | 1.554595 | -0.506494 | 0.669227 | -1.170823 | 0.0843 | 0.0718 | 0.0187 | 0.000000 | 0.000000 |
| 2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.030554 | 2.233248 | -0.155249 | 1.617265 | 0.749095 | 1.538213 | 0.671154 | 0.016499 | 0.0835 | 0.0723 | 0.0143 | 0.000000 | 0.000000 |
| 2459821 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.441362 | 1.499013 | -0.009171 | 1.701312 | 0.522471 | 1.226257 | 0.156355 | 0.305404 | 0.0751 | 0.0766 | 0.0131 | 1.096221 | 1.105689 |
| 2459820 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.387281 | 5.864497 | 0.001110 | 2.382894 | 0.479166 | 5.275149 | 0.434908 | -0.307859 | 0.0814 | 0.0737 | 0.0147 | 0.000000 | 0.000000 |
| 2459817 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.141344 | 1.739004 | -0.005525 | 1.334682 | 0.715618 | 1.556954 | 0.213970 | -0.002778 | 0.0758 | 0.0770 | 0.0117 | 21.716889 | 17.107527 |
| 2459816 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.155387 | 2.296611 | -0.458293 | 0.788060 | 0.367074 | 1.301152 | 0.452611 | 2.126169 | 0.0809 | 0.0664 | 0.0100 | 1.367847 | 1.362872 |
| 2459815 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.014746 | 1.445049 | -0.455150 | 0.706598 | 0.137481 | 0.357866 | -0.516537 | -0.749442 | 0.0835 | 0.0704 | 0.0104 | 1.454787 | 1.459798 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.415748 | 6.037339 | -0.188813 | 1.962362 | 1.736442 | 6.643998 | 1.480650 | 0.219209 | 0.1261 | 0.0970 | 0.0236 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 1.931734 | -0.551046 | -0.936588 | 0.681843 | 1.931734 | -0.178288 | -0.498180 | 0.120817 | 0.421479 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 2.182053 | -0.441038 | -0.813569 | 0.520889 | 2.182053 | 0.480220 | -0.419557 | -0.041038 | -0.266552 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Temporal Discontinuties | 2.272288 | -1.123838 | -0.396195 | 1.885757 | 0.471679 | 1.763327 | 0.591412 | 2.272288 | 0.784997 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 8.598554 | -0.139910 | -0.886661 | 2.345330 | 8.598554 | 1.746964 | 0.738961 | 0.540125 | 2.763717 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 1.548959 | -0.576939 | -1.038988 | 0.629199 | 1.548959 | -0.157376 | 0.393901 | -0.522947 | -0.493870 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 7.733098 | 0.350782 | -0.389679 | 1.628420 | 7.733098 | 1.786317 | -0.097433 | -0.180209 | -0.364469 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 8.126354 | 0.209607 | -0.718252 | 3.697368 | 8.126354 | 1.193113 | -0.147372 | -0.275227 | -0.208327 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 10.044855 | 0.201948 | -0.718761 | 3.314760 | 10.044855 | 0.278202 | 1.209136 | -0.198832 | 0.067708 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 7.906866 | 0.146821 | -0.712344 | 2.421409 | 7.906866 | 1.682904 | 0.362639 | -0.195780 | -0.052252 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 1.317714 | -0.224756 | -0.713182 | 0.799726 | 1.317714 | 0.152870 | -0.004027 | -0.323672 | -0.073432 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 8.313950 | 0.296547 | -0.150769 | 2.524239 | 8.313950 | 2.133841 | 0.127943 | 0.905103 | 2.519793 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 5.918602 | -0.271185 | -0.245023 | 5.918602 | 2.114450 | 0.064794 | 0.946873 | 0.379153 | 0.469074 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 7.426895 | -0.856577 | 2.762624 | 7.426895 | 2.901567 | -0.081724 | 2.077165 | -0.516871 | -0.122578 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 3.335389 | -0.951672 | 1.327956 | 3.335389 | 1.127143 | 0.292694 | 0.191092 | 0.155278 | -0.212822 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 8.683849 | -0.763728 | 8.683849 | 4.685339 | 2.792539 | -0.563074 | 1.862042 | -0.644234 | -0.233739 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 8.320593 | 8.320593 | -1.098811 | 3.054517 | 5.671047 | 2.619515 | -0.120874 | -0.676776 | -0.343899 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 6.714298 | 6.613537 | -0.827347 | 2.427511 | 6.714298 | 2.077601 | -0.297174 | -0.572594 | -0.347490 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 11.945372 | -1.127152 | 11.945372 | 4.909025 | 1.397052 | 0.105168 | 3.661796 | 1.069466 | 0.645458 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 8.948507 | -1.461667 | 8.948507 | 5.165129 | 0.663342 | -0.078170 | 2.278574 | -0.216657 | -0.755945 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 11.395659 | -1.038612 | 11.395659 | 7.809225 | 3.547169 | 0.176399 | 2.699547 | 0.007347 | -0.404079 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 8.559694 | -0.800005 | 8.559694 | 5.547582 | 2.733898 | -0.323463 | 2.445320 | -0.073000 | -0.471744 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 9.465198 | 9.465198 | -0.749652 | 2.756364 | 5.610566 | 2.460565 | -0.130826 | -0.548119 | -0.168283 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 12.261137 | -0.125575 | 12.261137 | 1.603172 | 0.529971 | -0.334980 | 2.705105 | -0.407826 | -0.345259 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 13.414470 | 13.414470 | -1.031913 | -0.793606 | -0.921455 | 1.741661 | -0.393353 | 0.211203 | 0.049918 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 7.713131 | -0.812650 | 7.713131 | -0.099229 | -0.053092 | 0.185363 | 0.048730 | -0.267342 | -0.412089 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 6.294983 | -0.783531 | 6.294983 | -1.514381 | -1.102185 | -0.059653 | 1.478958 | -0.467679 | -0.553869 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.697821 | 3.697821 | -0.702388 | 0.061608 | -0.022234 | -0.562629 | 0.555889 | -0.511228 | -0.226077 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.896155 | -0.930297 | 3.896155 | -1.033636 | -0.437316 | -0.307797 | 1.209938 | -0.215726 | -0.718402 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.485021 | -0.650513 | 3.485021 | 0.046189 | -0.168483 | 0.870905 | -1.268310 | -0.278934 | -0.388903 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.719527 | 3.719527 | -0.647063 | -0.205097 | -0.000856 | -0.929230 | 1.312169 | -0.485992 | -0.328060 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Temporal Variability | 2.777059 | 0.870812 | -0.650404 | -0.291430 | 0.195564 | 2.777059 | -1.238020 | -0.320423 | -0.550028 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 6.446757 | -0.765837 | 6.446757 | -0.877317 | 0.164136 | -0.354560 | 1.835275 | -0.457550 | -0.542553 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 7.326727 | 7.326727 | -1.652440 | 2.114526 | 0.246197 | 2.165835 | -0.367545 | -0.785649 | -0.299333 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 7.469398 | 7.469398 | -1.856417 | 0.825643 | 0.391396 | 1.408706 | -0.349936 | -0.622097 | -0.119173 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 5.017066 | 5.017066 | -1.234238 | 1.251652 | 0.489391 | 1.597028 | -0.047595 | -0.383072 | -0.049157 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 2.175376 | -0.604448 | 2.175376 | -0.135936 | 0.133451 | -0.069201 | 1.530861 | -0.922025 | -0.502256 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.549983 | -1.276981 | 3.549983 | 0.419953 | 1.205351 | 0.032805 | 0.064042 | -0.070820 | -0.670872 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 4.530076 | -1.345295 | 4.530076 | 0.413448 | 1.118601 | -0.015458 | 1.545640 | -0.141937 | -0.685363 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 5.288157 | -1.626142 | 5.288157 | 1.551859 | 4.694125 | -0.032695 | 1.900931 | 0.222559 | -0.719382 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 5.066744 | 5.066744 | -1.262008 | 2.683244 | -0.610714 | 1.883323 | 0.668659 | -0.349098 | -0.146917 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 4.594297 | 4.594297 | -1.265027 | 2.030754 | -0.878831 | 0.166597 | -0.234649 | -0.626904 | -0.557695 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 6.675045 | 6.675045 | -1.271773 | 5.419665 | 0.113606 | 2.633829 | -0.228331 | -0.926419 | -0.233328 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.398109 | -0.912364 | 3.398109 | -0.191246 | 1.144540 | -0.320985 | 2.262651 | -0.708642 | -1.206729 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 6.955169 | 6.955169 | -0.867030 | 1.334085 | -0.328242 | 1.041420 | -0.286887 | -0.312819 | -0.258577 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 1.717986 | -0.647383 | 1.717986 | 0.490011 | -0.728761 | 0.480092 | 0.045988 | -0.008303 | 0.096026 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Temporal Variability | 5.885939 | -0.951964 | 4.501729 | 0.060560 | 0.145461 | -1.148896 | 5.885939 | 0.871352 | 0.381836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 1.063117 | -0.292921 | 1.063117 | 0.201471 | -0.376208 | -1.000739 | -0.883248 | -0.235253 | -0.056071 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Temporal Variability | 3.145084 | 0.010519 | -0.403978 | -0.753361 | -0.068623 | 3.145084 | 2.174414 | -0.422009 | -0.477099 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Temporal Variability | 0.706188 | 0.103012 | -0.353991 | -0.345496 | -1.025258 | 0.706188 | -0.148533 | -0.735396 | -0.484917 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Power | 0.630562 | -0.464674 | -0.435296 | -0.193233 | 0.630562 | 0.533108 | -0.184150 | -0.177940 | -0.024382 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 4.637942 | -1.852873 | 4.637942 | -0.846238 | 0.095282 | 0.196134 | 2.705335 | 0.442398 | -0.589073 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Temporal Variability | 0.406892 | -0.222781 | 0.335618 | -0.322098 | -0.698548 | 0.168012 | 0.406892 | -0.353630 | -0.292771 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.747308 | -1.881230 | 3.747308 | -0.555410 | 0.886666 | 0.572837 | 0.741096 | 0.135773 | -1.101259 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 8.909812 | 8.909812 | -1.855415 | 1.762505 | 0.185143 | 3.240444 | 0.092037 | -0.310421 | 1.542590 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 3.323639 | 3.323639 | -1.234239 | 1.248138 | 0.181865 | 1.357354 | -0.060445 | -0.435647 | 0.925747 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 6.219833 | -1.428078 | 6.219833 | -0.069471 | 2.508083 | -0.123736 | 1.727286 | -0.363877 | -0.445807 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 2.522602 | 2.522602 | -1.352573 | 1.822125 | -0.409308 | 1.435053 | 0.354994 | -0.946639 | 0.061478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 2.373424 | 2.373424 | -1.520362 | 0.258992 | -0.294978 | 0.879871 | 0.288565 | 0.154132 | 0.095312 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 6.959856 | -1.638501 | 6.959856 | -0.275246 | 0.950295 | 1.136044 | 1.811327 | 2.446311 | 2.480912 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | ee Temporal Variability | 1.554595 | 1.112929 | -1.134370 | 1.052794 | -0.631083 | -0.506494 | 1.554595 | -1.170823 | 0.669227 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 2.233248 | -1.030554 | 2.233248 | -0.155249 | 1.617265 | 0.749095 | 1.538213 | 0.671154 | 0.016499 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Power | 1.701312 | 1.499013 | -1.441362 | 1.701312 | -0.009171 | 1.226257 | 0.522471 | 0.305404 | 0.156355 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 5.864497 | -1.387281 | 5.864497 | 0.001110 | 2.382894 | 0.479166 | 5.275149 | 0.434908 | -0.307859 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 1.739004 | -1.141344 | 1.739004 | -0.005525 | 1.334682 | 0.715618 | 1.556954 | 0.213970 | -0.002778 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 2.296611 | 2.296611 | -1.155387 | 0.788060 | -0.458293 | 1.301152 | 0.367074 | 2.126169 | 0.452611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | 1.445049 | 1.445049 | -1.014746 | 0.706598 | -0.455150 | 0.357866 | 0.137481 | -0.749442 | -0.516537 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 128 | N10 | digital_ok | nn Temporal Variability | 6.643998 | 6.037339 | -1.415748 | 1.962362 | -0.188813 | 6.643998 | 1.736442 | 0.219209 | 1.480650 |